Figure 1
The patient correlation coefficient (PCC) defines functional genomic complexity (FGC). (A) Schematic overview of the study design. (B) Heatmap shows the expression level of positively or negatively PCC associated genes (>95% or <5% of correlation estimate and p-value <0.01) in TIGER-LC. Samples are represented according to the PCC increasing order in columns and genes were represented according to the decreasing of correlation order in coefficient in the row. The color bar indicates HCC and iCCA patients as in blue and orange color, respectively. (C) GO Enrichment Analysis of selected genes. Top10 ranked GO based on the precision rank were shown. Orange and green color indicates positively and negatively correlated gene sets, respectively. (D,E) PCC shows strong correlation with CIN (D) and tFA (E). Coefficient estimates and p-value based on Pearson’s correlation were depicted. (F) The collective association among PCC (x-axis), CIN (y-axis), and tFA (z-axis) are shown. (G,H) The association between PCC and Immune Cytolytic activity (ICYT), defined as log-average of GZMA and PRF1 expression, derived from tumor (left panels of each) or non-tumor (right panels of each) tissue of Thai HCC and Thai iCCA are shown, respectively.
